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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Job Description: Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Excellent written and verbal communications skills, be comfortable presenting to large audiencesAdvanced degree (M.S., or Ph. D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields Experience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etcHow We Get Things Done.
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Drive innovation in the Data Science and Technology practice, focusing on generative AI and machine learning. Proficient in machine learning frameworks like TensorFlow and PyTorch.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Are you ready to go beyond classic predictive analytics to new areas like deep learning and reinforcement learning.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Law firm's Houston office seeks a Patent Agent to assist clients with cutting edge technology including Network Security, Artificial Intelligence and Machine Learning technologies. Elevate Your Patent Career: Unique Opportunity for High Tech Patent Agents at Top Law FirmAre you an experienced EE/CS Patent Agent with a strong foundation in electrical engineering, computer engineering, computer science, electromechanics and/or physics.
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Education: Bachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related field. Director, Lead Demand Data Science Description Director Lead Demand Data Scientist is a team lead role.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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We are looking for a Senior Scientist in Life Science with expertise in microscopy and experience in machine learning. In this role, you will have a strong background and knowledge of cell biology/cell physiology, biochemistry, and some demonstrated experience in data science and machine learning concepts.
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Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling.
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